Use of IGF-1 as a selection criteria in pig breeding

Similar documents
Juvenile IGF-I: an update

Genotype by environment interactions between pig populations in Australia and Indonesia

From genetic to phenotypic trends

Consequences of selection for lean growth and prolificacy on piglet survival and sow attribute traits

Performance and Body Composition of Gilts from Differing Genetic Lines as Affected by Nutritional Program

Multiple trait model combining random regressions for daily feed intake with single measured performance traits of growing pigs

Effects of genetic type and protein levels on growth of swine

GENETICS OF MEAT QUALITY CHARACTERISTICS - AUSTRALIAN WORK

Growth and Characterization of Individual Backfat Layers and Their Relationship to Pork Carcass Quality

Genetic analysis of pork bellies

Published December 8, 2014

Evaluation of Pfizer Animal Genetics HD 50K MVP Calibration

IMPACT OF PRE-SLAUGHTER WITHDRAWAL OF VITAMIN SUPPLEMENTS ON PIG PERFORMANCE AND MEAT QUALITY. conditions was not addressed in the present study.

Genetics of pork quality. D. W. Newcom, T. J. Baas, and K. J. Stalder. Dept. of Animal Science, Iowa State University, Ames, IA.

Response of Growing and Finishing Pigs to Dietary Energy Concentration J. F. Patience, A. D. Beaulieu and R.T. Zijlstra

tips&toolsp Using the MSA Index to optimise beef eating quality MEAT STANDARDS AUSTRALIA What is the MSA Index? Key points

The effect of linseed expeller supplementation on growth, carcass traits and meat colour of finishing gilts

nutrition, vitamin levels in other ingredients and level of metabolic precursors in the diet. Summary

Evaluation of Four Ractopamine Use Programs on Pig Growth and Carcass Characteristics

EFFECTS OF ENERGY INTAKE LEVEL DURING THE GROWING PHASE ON FEEDLOT STEER PERFORMANCE AND CARCASS COMPOSITION

National FFA Convention Livestock Coaches Clinic Swine Segment. Tammy Miller Joliet Junior College October 25, 2012

INFLUENCE OF REARING SPACE ON THE CARCASS AND MEAT QUALITY OF PIGS

Responses of pigs divergently selected for cortisol level or feed efficiency to a challenge diet during growth

Hog Finishing Practices that Impact Your Profit Margin Eduardo Beltranena

Effect of breed and sex on growth, carcass and meat quality traits

J. M. Benz, M. D. Tokach, S. S. Dritz 2, J. L. Nelssen, J. M. DeRouchey, and R. D. Goodband

Response to selection. Gene251/351 Lecture 7

Efficacy of Pantothenic Acid as a Modifier of Body Composition in Pigs

M. Jafarikia 1,2, L. Maignel 1, F. Fortin 3, S. Wyss 1, W. Van Berkel 4, D. Cohoe 5, F. Schenkel 2, J. Squires 2, B. Sullivan 1

SELECTION FOR HIGH AND LOW FATNESS IN SWINE

INFLUENCE OF DIETARY NIACIN ON FINISHING PIG PERFORMANCE AND MEAT QUALITY

Impact of Grow-Finish Performance and Carcass Characteristics in Response to an Increased Apparent Health Challenge

GROW/FINISH VARIATION: COST AND CONTROL STRATEGIES

Effect of Ad libitum Feeding of Gilt Developer Diets Differing in Standard Ileal Digestive Lysine Concentrations on Growth Traits

Paylean Update. Prairie Swine Center Producer Meetings. Peter Provis DVM Elanco Animal Health

Effects of Ractopamine and Carnitine in Diets Containing 5% Fat for Finishing Pigs

John S Richardson. Production Performance Services Ltd 1

DIETARY ENERGY DENSITY AND GROWING-FINISHING PIG PERFORMANCE AND PROFITABILITY

The Effect of the Time of Feeding Prior to Slaughter of Supplemental Magnesium Sulfate Heptahydrate on Pork Quality.

How do we manage gilts for good lifetime performance?

Deschambault swine testing station Station trials 32 and 33

Meat Standards Australia Breeding for Improved MSA Compliance & Increased MSA Index Values

Comparison of growth rates in the tissues of primal cuts of Canadian composites

EFFECTS OF RACTOPAMINE (PAYLEAN TM ) DOSE AND FEEDING DURATION ON PIG PERFORMANCE IN A COMMERCIAL FINISHING FACILITY 1

Swine nutrition and management systems that alter productivity and carcass traits

Effects of Supplemental Pantothenic Acid During All or Part of the Grow- Finish Period on Growth Performance and Carcass Composition

Lean and Fat Deposition Measurements for Purebred Berkshire Pigs Housed in Hoop Barns in Iowa

EAAP-57th Annual Meeting, Antalya, Turkey, September 2006, Session P24.8 ABSTRACT INTRODUCTION MATERIAL AND METHODS

EFFECTS OF DRIED DISTILLERS GRAINS WITH SOLUBLES ON GROWTH PERFORMANCE AND FAT QUALITY OF FINISHING PIGS 1

Meat sheep selection background

Evaluation of an in-feed appetite suppressant as a. means to manipulate feed intake of pigs

EVALUATION OF A SATIETY HORMONE IN PIGS WITH DIVERGENT GENETIC POTENTIAL FOR FEED INTAKE AND GROWTH

Maximising the benefits of high fat and high fibre diets during the finisher period

Consumer Preference for Pork Quality

Mating Systems. 1 Mating According to Index Values. 1.1 Positive Assortative Matings

Change over 25 years in efficiency, composition and nutrient excretion of pigs. By Justin Fix. Objective

Effect of the Halothane and Rendement Napole Genes on Carcass and Meat Quality Characteristics of Pigs.

Meat Standards Australia (MSA), an eating quality

INTERACTIVE EFFECTS BETWEEN PAYLEAN (RACTOPAMINE HCl) AND DIETARY L-CARNITINE ON FINISHING PIG GROWTH PERFORMANCE AND CARCASS CHARACTERISTICS

Luther, Schwörer and Hofer HK: CLH: head of humerus condylus lateralis humeri FK CMH: condylus medialis humeri CMH CLH DEU HK RUP CMF RUP: radius and

Physiological consequences of selection for increased performance in pigs. Wendy Rauw

Babcock Purebred Hampshire

IMPLANT EFFECTS ON CARCASS COMPOSITION AND MEAT QUALITY AS AFFECTED BY DIET

Evaluation of the Magnitude of Ractopamine Treatment Biases When Fat- Free Lean Mass is Predicted by Commonly Used Equations

Growth and Carcass Characteristics of Pigs Fed Bt and Non-Bt Corn and Harvested at US and European Market Weights

SUPPLEMENTATION OF L-CARNITINE AND PAYLEAN IMPROVE GROWTH PERFORMANCE OF PIGS IN A COMMERCIAL FINISHING FACILITY

Grower-Finisher Performance and Carcass Characteristics of Pigs Fed Genetically Modified Bt Corn

Meat Standards Australia Breeding for Improved MSA Compliance & Increased MSA Index Values

Evaluation of Commonly Used Lean Prediction Equations for Accuracy and Biases

Swine Industry. Swine Terms. Today's pig yields a pork loin with: 77% less fat 53% fewer calories!

performance? John Pluske John Pluske Sub Program Manager, Pork CRC

understood as achieving highest possible efficiency (combined pigs produced per sow per

Ractopamine Treatment Biases in the Prediction of Fat-free Lean Mass

Adjustment for Heterogeneous Herd-Test-Day Variances

Feeding Guidelines 1

Genetic Analyses of Carcass Characteristics in Crossbred Pigs: Cross between Landrace Sows and Korean Wild Boars

Northern Ireland Poultry Conference. Graeme Dear General Manager Aviagen UK Ltd

BIA Conference Composite Breeding. David Johnston. Introduction. Composite breed theory

FEED EFFICIENCY IN SWINE. I. A COMPARISON OF MEASUREMENT PERIODS AND METHODS OF EXPRESSING FEED EFFICIENCY 1

Correlated responses in growth, carcass, and meat quality traits to divergent selection for testosterone production in pigs 1

Effects of Diet and Genetics on Production Traits in Response to Repeated Exposure to Heat Stress in Pigs

Program 2 Improving Whole Herd Feed Efficiency

Initial Evaluation of a Model to Describe the Compositional Growth of Pigs Fed Paylean 1

Evaluation of Condition Scoring of Feeder Calves as a Tool for Management and Nutrition

METRIC Technical Bulletin MANAGING CHOICE GENETICS CG PARENT GILT REPLACEMENT THROUGH PARITY ONE

Determining an optimum lysine:calorie ratio for barrows and gilts in a commercial finishing facility 1,2

Potential for a Genetic Solution for Boar Taint in Canadian Pigs

Commercial Approaches to Genetic Selection for Growth and Feed Conversion in Domestic Poultry

Estimates of genetic parameters and breeding values for New Zealand and Australian Angus cattle

Dr. Jerry Shurson Department of Animal Science

The Ability of Measures of Carcass Composition to Predict Empty Body Protein and Lipid Composition

Evaluating Genetic Sources

C. N. Groesbeck, R. D. Goodband, M. D. Tokach, S. S. Dritz 2, J. L. Nelssen, J. M. DeRouchey, B. W. James, T. P. Keegan, and K. R.

Jennifer Marie Young Iowa State University. Iowa State University Capstones, Theses and Dissertations. Graduate Theses and Dissertations

CANADIAN EXPERIENCE WITH FEEDING DDGS

Evaluation of Genotype, Therapeutic Antibiotic, and Health-Management Effects and Interactions on Lean Growth Rate

The ECO-FCE project is funded by the European Union Seventh Framework Programme (FP7 2007/2013) under grant agreement No

Evaluation of procedures to predict fat-free lean in swine carcasses

TRAITS IN PIGS. JOSEPH WILLIAM KOFI ESSIEN B.Sc (Hons.) (Ghana), M.Sc (New England)

Transcription:

Use of IGF-1 as a selection criteria in pig breeding B. G. Luxford 1, K. L Bunter 2, P. C. Owens 3, R. G. Campbell 1 Bunge Meat Industries, Corowa 1 ; University of New England, Armidale 2 ; University of Adelaide, Adelaide 3. Introduction Insulin-like Growth Factor - 1 (IGF-1) fulfils a number of criteria for potential inclusion as an indirect selection measure. It can be accurately and relatively inexpensively measured in the blood of young animals and has been shown to be significantly related to growth rate in pigs. However, there was little information on its heritability or genetic correlations with economically important traits in pigs. In other words would IGF-1 respond to selection and secondly would genetic changes in IGF-1 result in improved performance in pigs. The following traits were measured in an initial trial; plasma concentration of IGF-1 at 5 weeks of age, average daily gain from birth to 24 weeks of age (ADG) ultrasonic fat depth at the last rib (P2), feed intake and feed conversion efficiency from 19 to 24 weeks of age (FI and FCE) and drip loss of the LD muscle (DLP). Two breeds. Large White and Landrace were used. The heritability and correlations were obtained using DFREML with an average information (AI) algorithm. The heritability of IGF-1 was 0.22 ± 0.09. The number of observations, genetic (r g ) and phenotypic (r p ) correlations for IGF-1 and the performance traits are presented in Table 1. Table 1. Genetic and residual correlations between IGF-1 and a number of performance traits. Trait ADG P2 FI FCE DLP Number 3522 3575 3531 3500 2318 r g -0.47 0.29 0.37 0.84-0.26 r e 0.24 0.18 0.01-0.08-0.17 IGF-1 was negatively correlated with growth rate and positively correlated with P2 and feed conversion efficiency. In other words selection for lower levels of IGF-1 should result in leaner, faster growing and most importantly more efficient pigs. A selection study was carried out to validate the heritability value and genetic correlation outlined above. The study consisted of a one generation selection measuring males and females for IGF-1 at five weeks of age and selecting boars and with the highest and lowest values for subsequent mating. The high value males were mated to the high value females and low males to low females. The subsequent progeny were then measured for IGF-1 and a number of performance traits. Any differences observes between the two groups of progeny are a result of the genetic differences of their parents in IGF-1. From the data we calculated a realised heritability and correlated selection responses for a number of performance traits. AGBU Pig Genetics Workshop November 1998 17

Materials and Methods Two hundred Large White males and two hundred Large White females were measured for IGF-1 at approximately five weeks of age. IGF-1 was assayed using a modified commercial elisa kit. At twenty five weeks of age two groups comprising six boars and thirty six gilts with the highest and lowest IGF-1 values, respectively were selected for breeding. The high value boars were mated to the high value gilts and low value boars mated to the low value gilts. The resulting progeny were then measured for the following traits: IGF-1 at approximately five weeks of age Rate of gain over the lifetime Rate of gain over the test period Feed intake over the test period Feed efficiency over the test period Fat depth over the last rib, 6.5cm off the midline Fat depth between the third and fourth last rib, 6.5cm off the midline Fat depth over the ham, 6.5cm off the midline Muscle depth over the last rib, 6.5cm off the midline Percentage fat in the carcase. Carcase dressing percentage Colour of the Longdissimus Dorsi muscle Colour of the Superior Spinalis muscle ph of the Longdissimus Dorsi muscle 24 hours after slaughter Pigs went on test at approximately 75 kg and fed ad libitum for a six week period. Progeny which did not go on test remained under commercial conditions. The test was carried out in electronic feeders in an average group size of 35 pigs per pen. The pigs averaged 103 kg off test. All fat measures were recorded using a real time ultrasound. The colour measures are the L values from a Minolta Chronometer. A total of 388 progeny were measured for growth rate over the animals lifetime and the linear fat measures at the last rib and over the leg. Fat percentage of the carcase was estimated using an algorithm combining the fat measurements and carcase weight. A random sample of 276 animals went onto test, with 110 of them being slaughtered for the meat quality measures. The realised heritability was calculated as the selection response, which is the difference between the high and low progeny group values for IGF-1, divided by the selection differential, which is the difference between the average of the high and low parent IGF-1 values. The estimates of the genetic correlations obtained in the initial experiment were used to estimate correlated selection responses in the performance traits in this experiment, using the normal equation for estimation of correlated responses, with the selection intensity generated in this experiment and the realised heritability for IGF-1 and heritability estimates for the performance traits obtained in recent experiments using this line. Differences between the high and low IGF-1 groups and boars and gilts were analysed with standard analysis of variance and covariance techniques. Analysis of the linear fat and muscle depth data included final live weight, and sex as covariates. The analysis of the data off test included entry weight and sex as covariates. 18 AGBU Pig Genetics Workshop November 1998

Results and Discussion In Table 2 the average IGF-1 levels for the sires, dams and progeny for the two groups are presented. Table 2. Average IGF-1 Levels for Sires, Dams and Progeny for the Two Groups. _ High Low Sires 179 33 Dams 138 47 Progeny 99 65 The data from the table above corresponds to a realised heritability estimate of 0.28, which is marginally higher than the previous estimate recorded in the population studies. Average performance for growth rate over the lifetime and fat depth over the last rib and leg are presented for the two groups in Table 3. Table 3. Average Performance Values For Both Groups. Lifetime Growth Rate (gms/day) 590 570 4 Fat Depth Last Rib (mm) 26 14 0.2 Fat Depth Over Leg (mm) 17.6 14.5 0.2 Fat % 20.1 18.1 0.2 The high IGF-1 progeny grew significantly faster over the lifetime, but were significantly fatter at both sites. Table 4. Average Test Performance Values for Both Groups. Test Growth Rate (gms/day) 790 825 13 Test Feed Intake (kg/day) 2.43 2.34 0.03 Test Feed Efficiency (kg feed/kg gain) 3.13 2.90 0.05 Fat Depth Third Last Rib(mm) 16.1 15.1 0.30 Loin Eye Depth(mm) 39.8 41.7 0.56 AGBU Pig Genetics Workshop November 1998 19

In Table 4 the average performance for both groups is presented for traits measured over the test period. In contrast to growth rate over the lifetime, over the test period the high group progeny grew significantly slower. This group also consumed more feed, with the difference approaching significance (P<0.07). As a result the low group progeny were significantly more efficient than the high group. In terms of carcase measures, the low group were significantly leaner at the third last rib and had significantly larger loin eye depths. Average meat quality values are presented for both groups in Table 5. There were no significant differences in any of the traits between the groups. Dressing percentage again approached significance at P<0.11. Table 5. Average Meat Quality Values for Males and Females in Both Groups. Dressing Percentage 79.8 80.6 0.34 Colour Longdissimus Dorsi 53.5 53.1 0.60 Colour Super Spinalis 47.1 45.6 0.57 Ultimate ph 5.73 5.68 0.03 Outlined below in Table 6 are the actual and predicted differences recorded between the two groups (Low - High) for a number of traits. Table 6. Realised and predicted responses and genetic correlations for a number of performance traits. Trait Realised Predicted IGF-1 (ng/ml) -34-25 Feed Efficiency (kg feed/kg gain) -0.23-0.22 Feed Intake (gms/day) -60-66 Growth Rate on Test (gms/day) 35 30 Growth Rate Over Life (gms/day) -15 9 Fat Depth Last Rib (mm) -1.9-1.6 The results are in good agreement with what we would have expected from our initial studies. The realised genetic correlations for feed efficiency, fat depth at the P2 site, and growth rate over the test period were 0.81, 0.4 and -0.35 respectively. The largest discrepancy was in growth rate over the lifetime, which in this study is unfavourable, even though growth rate over the test period remained favourable. 20 AGBU Pig Genetics Workshop November 1998

Conclusions IGF-1 offers breeders a new cost effective selection tool to improve feed efficiency, leanness and growth rate. The major advantages ofigf-1 over conventional selection methods are the age at which the trait can be measured and the relative ease and cost of measurement. The early age at which IGF-1 can be measured will allow breeders to preselect candidate boars for further testing. In countries which castrate boars, a major saving will be realised on reducing the number of entire boars, not selected, which are sold as market pigs. Also breeders can further reduce costs by targeting boars for additional more expensive testing before making final selection decisions. Direct measurement of feed efficiency has been limited by breeders because of the costs involved in obtaining feed intake measures. Animals need to be individually housed or relative expensive electronic feeders are required. We have estimated the cost of obtaining individual intake measures to be approximately $20 per pig. The cost of measuring IGF-1 will be significantly less than this. The use of IGF-1 for selection of livestock has been patented. A testing service, under the title PrimeGRO is currently available in Australia and will be available worldwide by the end of the year. AGBU Pig Genetics Workshop November 1998 21